Ross E. Allen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Cooperative Multi Agent Systems

Reinforcement Learning

Max Sum Algorithm

Reachability Analysis

Top Venues

IEEE Robotics Autom. Lett.

Publications

Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
Distributed Online Planning for Min-Max Problems in Networked Markov Games. CoRR (2024)
Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
Distributed Online Planning for Min-Max Problems in Networked Markov Games. IEEE Robotics Autom. Lett. 9 (7) (2024)
Wei Xiao, Ross E. Allen, Daniela Rus
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions. CDC (2023)
Wei Xiao, Ross E. Allen, Daniela Rus
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions. CoRR (2023)
Ross E. Allen, Wei Xiao, Daniela Rus
Learned Risk Metric Maps for Kinodynamic Systems. ICRA (2023)
Keane Lucas, Ross E. Allen
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. CoRR (2022)
Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. ICRA (2022)
Keane Lucas, Ross E. Allen
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination. AAMAS (2022)
Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus
Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. IEEE Robotics Autom. Lett. 7 (2) (2022)
Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. AAMAS (2021)
Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. CoRR (2021)
Ho Chit Siu, Jaime Daniel Peña, Edenna Chen, Yutai Zhou, Victor J. Lopez, Kyle Palko, Kimberlee C. Chang, Ross E. Allen
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi. NeurIPS (2021)
Ho Chit Siu, Jaime Peña, Kimberlee C. Chang, Edenna Chen, Yutai Zhou, Victor J. Lopez, Kyle Palko, Ross E. Allen
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi. CoRR (2021)
Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. CoRR (2020)
Yutai Zhou, Shawn Manuel, Peter Morales, Sheng Li, Jaime Pena, Ross E. Allen
Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research. HPEC (2020)
Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning. CoRR (2019)
Ross E. Allen, Marco Pavone
A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance. Robotics Auton. Syst. 115 (2019)
Ross E. Allen, Marco Pavone, Mac Schwager
Flying Smartphones: When Portable Computing Sprouts Wings. IEEE Pervasive Comput. 15 (3) (2016)
Ross E. Allen, Marco Pavone
Toward a real-time framework for solving the kinodynamic motion planning problem. ICRA (2015)
Ross E. Allen, Ashley A. Clark, Joseph A. Starek, Marco Pavone
A machine learning approach for real-time reachability analysis. IROS (2014)
Ross E. Allen, Marco Pavone, Christopher McQuin, Issa A. D. Nesnas, Julie C. Castillo-Rogez, Tam-Nguyen Nguyen, Jeffrey A. Hoffman
Internally-actuated rovers for all-access surface mobility: Theory and experimentation. ICRA (2013)